PLS-SEM algorithm for the decision to purchase durian milk with seeds

This research’s primary purpose was to research these factors’ influence on buying decision durian milk with seeds. We gathered research data from 300 consumers in Ho Chi Minh City, Vietnam. The research model was proposed from previous researches. Besides, we applied the PLS-SEM Algorithm with Smar...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1860; no. 1; p. 12013
Main Authors Mai, D S, Hai, P H, Cuong, D T, Khoi, B H
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2021
Subjects
Algorithms
Data analysis
Mathematical models
Modelling
Multivariate statistical analysis
Physics
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ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/1860/1/012013

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Summary:This research’s primary purpose was to research these factors’ influence on buying decision durian milk with seeds. We gathered research data from 300 consumers in Ho Chi Minh City, Vietnam. The research model was proposed from previous researches. Besides, we applied the PLS-SEM Algorithm with SmartPLS software for data analysis. Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) method that is broadly implemented in business and social sciences. It is a new statistical tool for the research method. The research results showed that factors (brand, product availability, product reference group, product quality, and promotion activities) positively affected purchasing decisions.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/1860/1/012013